Computer Aided Process and Product Engineering (CAPE)Luis Puigjaner, Georges Heyen John Wiley & Sons, 2 thg 1, 2007 - 910 trang Computer aided process engineering (CAPE) tools have been very successfully used in process design and product engineering for a long time. In particular, simulation and modelling tools have enabled engineers to analyse and understand the behaviour of selected processes prior to building actual plants. The aim of design or retrofit of chemical processes is to produce profitably products that satisfy the societal needs, ensuring safe and reliable operation of each process, as well as minimising any effects on the environment. This involves the conceptual design or retrofit of plants and processes, novel manufacturing approaches, process/control system design interactions and operability, manufacturability, environmental and safety issues. Backed by current studies, this 2-volume set gives a comprehensive survey of the various approaches and latest developments on the use of CAPE in the process industry. An invaluable reference to the scientific and industrial community in the field of computer aided process and product engineering. |
Nội dung
Volume | 1 |
Computeraided Process and Product Design | 2 |
Facing Uncertainty in Demand by Costeffective | 3 |
Resource Planning 447 | 5 |
LargeScale Algebraic Systems | 15 |
Distributed Dynamic Models and Computational Fluid Dynamics | 35 |
4 | 98 |
Computer Aided Process and Product Engineering Edited by Luis Puigjaner and Georges Heyen | 107 |
5 | 205 |
Future Challenges | 218 |
7 | 220 |
Central Dogma of Biology | 228 |
4 | 234 |
Methods for Mapping the Complexity of Regulatory Networks | 236 |
6 | 240 |
Towards Understanding the Complexity of Microbial Systems | 247 |
4 | 115 |
5 | 134 |
1 | 137 |
3 | 148 |
5 | 160 |
6 | 166 |
3 | 174 |
5 | 183 |
5 | 187 |
Multiscale Process Modeling | 189 |
4 | 193 |
Multiscale Model Integration and Solution | 203 |
Discussion and Conclusions | 259 |
Supply Chain Management and Optimization 621 | 269 |
2 | 271 |
2 | 293 |
Computeraided Integration of Utility Systems | 327 |
The Energy Conversion Technologies Database | 334 |
Solving the Energy Conversion Problem Using | 348 |
Solving Multiperiod Problems | 367 |
Conclusions | 379 |
4 | 439 |
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adsorption AIChE algorithm allolactose application approach approximation assumptions balance equations balance volume behavior boundary conditions CE/SE method cell Chem Chemical Engineering complex computational computational fluid dynamics computer-aided configurations conservation crystal defined described developed differential equations discretization dynamic efficient elements energy evaluated example exergy finite flow fluid framework function genes glucose grid heat integration interactions Jacobian matrix lac operon lactose linear mass mathematical mechanisms membrane mesh methods microscale model model equations modeling goal molecular dynamics molecules Monte Carlo method mRNA multiscale model Newton's method nonlinear operation optimization Pantelides parameters partial models PDEs phase phenomena physical problem process engineering process model process systems properties protein reaction reactor regulatory networks repressor scale scheme Section solution solved spatial steam network stencil structure superstructure synthesis techniques temperature thermodynamic tion transcription transformations values variables WENO